nach oben

Erschienen in:

2021 | OriginalPaper | Buchkapitel

Optimal Share of DG and DSTATCOM in Distribution Network Using Firefly Algorithm

verfasst von : Jitendra Singh Bhadoriya, Atma Ram Gupta

Erschienen in: Recent Advances in Power Systems

Verlag: Springer Singapore

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Integration of new devices makes distribution system (DS) more resilient and stronger in value chain. Optimally placed DG and DSTATCOM (DGDST) play a vital role to provide good quality of electrical supply to customers with increased reliability of the system. The losses occurring in DS influence the other section of value chain like transmission and generators, since we cannot store the electricity, so it should be utilized properly under several quality and reliable constraints. Due to large number of end users DS suffers with voltage drop, which can collapse the whole network. The power is being wasted in terms of heat and other losses. Large number of connected equipment and transmission lines increases the R/X ratio, which further degrades the efficiency of DS. Two important parameter power loss minimization and voltage compensation gives advantage to distribution system to operate smoothly in normal and faulty situation, so proposed paper apply a meta-heuristic firefly optimization algorithm technique applied to balanced radial distribution system (BRDS) IEEE-33 to investigate the optimal position and capacity of DGDST in two scenario single and multiple allocation simultaneously with weighted objective function under different cases considering all necessary equality and inequality constraints to avoid reverse power flow in DS. The results analysis presents the efficacy of proposed algorithm meticulously.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel A Comprehensive Review of Remote and Passive IDMs of Utility Grid Integrated MG System—Part I

Nächstes Kapitel A Comprehensive Review of Conventional and Computational Islanding Diagnosis of Distributed Generator in Distribution Network

Selim, A., Kamel, S., Alghamdi, A.S., Jurado, F.: Optimal placement of DGs in distribution system using an improved Harris Hawks optimizer based on single- and multi-objective approaches. IEEE Access 8, 52815–52829 (2020). https://doi.org/10.1109/ACCESS.2020.2980245CrossRef

MEl-Zonkoly, A.: Optimal placement of multi-distributed generation units including different load models using particle swarm optimization. Swarm Evol Comput.1, 50–59. (2011). https://doi.org/10.1016/j.swevo.2011.02.003

Singh, D., Singh, D., Verma, K.S.: Multiobjective optimization for DG planning with load models 24(1), 427–436 (2009)

Bohre, A.K., Agnihotri, G., Dubey, M.: Optimal sizing and sitting of DG with load models using soft computing techniques in practical distribution system. IET Gener. Trans. Distrib. 10(11), 2606–2621 (2016). https://doi.org/10.1049/iet-gtd.2015.1034CrossRef

Fanish, R., Bhadoriya, J.S.: Optimal placement of multi DG in 33 bus. IJAREEIE 4(4), 3758–3764 (2015)

Pandey, D., Bhadoriya, J.S.: Optimal placement & sizing of distributed generation (DG) to minimize active power loss using particle swarm optimization (PSO). Int. J. Sci. Technol. Res. 3(7), 246–254 (2014)

Gupta, A.R., Kumar, A.: Optimal placement of D-STATCOM using sensitivity approaches in mesh distribution system with time variant load models under load growth. Ain. Shams. Eng. J. 9(4), 783–799 (2018). https://doi.org/10.1016/j.asej.2016.05.009CrossRef

Biswal, S.R., Shankar, G.: Simultaneous optimal allocation and sizing of DGs and capacitors in radial distribution systems using SPEA2 considering load uncertainty. IET Gener. Trans. Distrib. 14(3), 494–505 (2020). https://doi.org/10.1049/iet-gtd.2018.5896CrossRef

Ochoa, L.F., Member, S., Padilha-feltrin, A., Harrison, G.P.: Impacts with a multiobjective index. 21(3), 1452–1458 (2006)

10.

Raj, S., Bhattacharyya, B.S.C.: Swarm Evol Comput BASE DATA (2018). https://doi.org/10.1016/j.swevo.2017.12.008

11.

Ameli, A., Bahrami, S., Khazaeli, F., Haghifam, M.R.: A multiobjective particle swarm optimization for sizing and placement of DGs from DG owner’s and distribution company’s viewpoints. IEEE Trans. Power Deliv. 29(4), 1831–1840 (2014). https://doi.org/10.1109/TPWRD.2014.2300845CrossRef

12.

Duong, M.Q., Pham, T.D., Nguyen, T.T., Doan, A.T., Van Tran, H.: Determination of optimal location and sizing of solar photovoltaic distribution generation units in radial distribution systems. Energies 12(1) (2019). https://doi.org/10.3390/en12010174

13.

Selim, A., Kamel, S., Jurado, F.: Efficient optimization technique for multiple DG allocation in distribution networks. Appl. Soft. Comput. J. 86, 1–20 (2020). https://doi.org/10.1016/j.asoc.2019.105938CrossRef

14.

Pandey, R.S., Awasthi, S.R.: A multi-objective hybrid algorithm for optimal planning of distributed generation. Arab. J. Sci. Eng. (0123456789) (2020). https://doi.org/10.1007/s13369-019-04271-1

15.

Sultana, U., Khairuddin, A.B., Aman, M.M., Mokhtar, A.S., Zareen, N.: A review of optimum DG placement based on minimization of power losses and voltage stability enhancement of distribution system. Renew. Sustain. Energy Rev. 63, 363–378 (2016). https://doi.org/10.1016/j.rser.2016.05.056CrossRef

16.

Sanam, J.: Optimization of planning cost of radial distribution networks at different loads with the optimal placement of distribution STATCOM using differential evolution algorithm. Soft Comput. (2020). https://doi.org/10.1007/s00500-020-04739-5

17.

Tagore, A.K., Gupta, A.R.: Impact of DG and D-STATCOM allocation in radial distribution system for reducing harmonics. In: 8th International Conference on Computer Engineering and Networks Technology ICCCNT 2017 (2017). https://doi.org/10.1109/icccnt.2017.8204087

18.

Murty, V.V.S.N., Kumar, A.: Impact of D-STATCOM in distribution systems with load growth on stability margin enhancement and energy savings using PSO and GAMS. Int. Trans. Electr. Energy Syst. 28(11), 1–24 (2018). https://doi.org/10.1002/etep.2624MathSciNetCrossRef

19.

Gupta, A.R., Kumar, A.: Optimal placement of D-STATCOM in distribution network using new sensitivity index with probabilistic load models. In: 2nd International Conference on Recent Advances in Engineering Computer Science RAECS 2015. (2016). https://doi.org/10.1109/raecs.2015.7453316

20.

Ei-Ela, A.A.A., Mouwafi, M.T., Shammah, A.E.S., Abdel-Ghany, D.Y.: Optimal placement of D-STATCOM in distribution systems using JAYA algorithm. In: 2018 20th International Middle East Power System Conference on MEPCON 2018—Proceedings (2019). https://doi.org/10.1109/mepcon.2018.8635133

21.

Gupta, A.R., Kumar, A.: Performance analysis of radial distribution systems with UPQC and D-STATCOM. J. Inst. Eng. Ser. B. 98(4), 415–422 (2017). https://doi.org/10.1007/s40031-016-0254-4CrossRef

22.

Ahmadi, S.A., Vahidinasab, V., Ghazizadeh, M.S., Mehran, K., Giaouris, D., Taylor, P.: Co-optimising distribution network adequacy and security by simultaneous utilisation of network reconfiguration and distributed energy resources. IET Gener. Transm. Distrib. 13(20), 4747–4755 (2019). https://doi.org/10.1049/iet-gtd.2019.0824CrossRef

23.

Rezaee, Jordehi A.: Allocation of distributed generation units in electric power systems: a review. Renew. Sustain. Energy Rev. 56(March), 893–905 (2016). https://doi.org/10.1016/j.rser.2015.11.086CrossRef

24.

Gupta, A.R., Kumar, A., Deployment of Distributed Generation with D-FACTS in distribution system: A Comprehensive Analytical Review. IETE J. Re. Taylor & Francis Group (2019). https://doi.org/10.1080/03772063.2019.1644206

25.

Sirjani, R., Rezaee, J.A.: Optimal placement and sizing of distribution static compensator (D-STATCOM) in electric distribution networks: A review. Renew. Sustain. Energy Rev. 77, 688–694 (2017). https://doi.org/10.1016/j.rser.2017.04.035CrossRef

26.

Johari, N.F., Zain, A.M., Mustaffa, N.H., Udin, A.: Firefly algorithm for optimization problem. Appl. Mech. Mater. 421, 512–517. https://doi.org/10.4028/www.scientific.net/AMM.421.512

27.

Yang, X.-S.: Firefly algorithms. In: Nature-Inspired Optimization Algorithms (2014). https://doi.org/10.1016/b978-0-12-416743-8.00008-7

28.

Taher, S.A., Afsari, S.A.: Electrical power and energy systems optimal location and sizing of DSTATCOM in distribution systems by immune algorithm. Int. J. Electr. Power Energy Syst. 60, 34–44 (2014). https://doi.org/10.1016/j.ijepes.2014.02.020CrossRef

29.

Teng, J.H.: A direct approach for distribution system load flow solutions. IEEE Trans Power Deliv. 18(3), 882–887 (2003). https://doi.org/10.1109/TPWRD.2003.813818CrossRef

Titel: Optimal Share of DG and DSTATCOM in Distribution Network Using Firefly Algorithm
verfasst von: Jitendra Singh Bhadoriya
Atma Ram Gupta
Verlag: Springer Singapore
Buch: Recent Advances in Power Systems
Print ISBN: 978-981-15-7993-6

Electronic ISBN: 978-981-15-7994-3

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-981-15-7994-3_46